贺江宁
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姓名: |
贺江宁 |
| 最后学位: | 博士 |
| 职称: | 副教授/讲师 |
| 公共职务: |
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| 导师岗位: | 博导 |
| 办公室: | 509 |
| 电话: | (021) 65901264 |
| Email: | he.jiangning@mail.shufe.edu.cn |
个人简介
贺江宁，上海财经大学信息管理与工程学院常任轨副教授。毕业于清华大学经济管理学院，获管理学博士学位。研究方向为商务智能与大数据分析，研究方法为数据挖掘、机器学习、概率图模型、深度学习等，关注个性化推荐、用户心理和行为分析、商场数据分析、智能竞争者分析、社会网络分析等研究问题。研究成果发表在MIS Quarterly, ACM Transactions on Information Systems、Information&Management等一流国际期刊上。
Jiangning He is an associate professor at SUFE. She received her Ph.D degree at School of Economics and Management, Tsinghua University. Broadly speaking, her main research interests lie in business intelligence and big data analytics. Currently, she focuses on leveraging computational methods from data mining, machine learning, probabilistic graphical models and deep learning, to tackle business problems such as personalized recommendation, consumer psychology and behavioral analytics, shopping mall analytics, competitive intelligence, social network analytics, etc. Her studies have been published in top IS journals like MIS Quarterly, ACM Transactions on Information Systems, Information & Management, etc.
教授课程
数据挖掘，本科生 (Introduction to Data Mining, undergraduates)
数据挖掘与商务分析，本科生（Data Mining and Business Analytics, undergraduates）
高级商务智能，研究生（Advanced Business Intelligence, graduates）
R语言在精算中的应用，本科生 (R programming for Actuarial Science, undergraduates)
科研项目
[1] 国家自然科学基金青年项目，72001128，基于顾客逛店轨迹挖掘的商场店铺推荐方法研究，2021-01至2023-12，24万元，结项，主持
[2] 上海市浦江人才计划(C类)，2019PJC046，基于移动应用市场的智能竞争者分析及其在个性化推荐中的应用，2019-11至2021-10，15万元，结项，主持
2022.09 ～至今，上海财经大学信息管理与工程学院，常任轨副教授；
2018.09 ～2022.08，上海财经大学信息管理与工程学院，常任轨助理教授；
2013.09～2018.07，清华大学经济管理学院，管理科学与工程专业，管理学博士学位；
2009.09～2013.06，中国人民大学信息学院，信息管理与信息系统专业，工学学士学位。
期刊论文
[1] Jiayi Guo, Jiangning He*, Xinran Wu. Shopping Trip Recommendations: A Novel Deep Learning-Enhanced Global Planning Approach [J]. Decision Support Systems. 2024, 182(114238): 1-14
[2] Jiangning He, Fang Xiao*, Hongyan Liu*, et al. Mobile App Recommendation: An Involvement-Enhanced Approach [J]. MIS Quarterly. 2019, 43(3): 827-849.
[3] Jiangning He and Hongyan Liu*. Mining Exploratory Behavior to Improve Mobile App Recommendations[J]. ACM Transactions on Information Systems. 2017, 35(4), article 32.
[4] Jiangning He, Hongyan Liu*, and Hui Xiong. SocoTraveler: Travel-package Recommendation Leveraging Social Influence of Different Relationship Types[J]. Information & Management. 2016, 53(8):934-950.
[5] Jiangning He, Hongyan Liu*, Raymond Y.K. Lau, et al. Relationship Identification Across Heterogeneous Online Social Networks[J]. Computational Intelligence, 2017, 33(3):448-477.
会议论文
[1] Lei Nie, Huatong Chong, and Jiangning He*. Fixing Some Attributes While Varying the Others: An Attribute-Aware Attentive Approach to Session-based Recommendations. CNAIS 2023.
[2] Jiangning He*, Weikun Wu, and Fan Zhang. A Dynamic Demand Satiation Model for Offline Store Recommendations. INFORMS Workshop on Data Science. 2021. Nominated as Best Paper Award.
[3] Jiangning He, Hongyan Liu*, Jun He, et al. Individuality or Conformity: Recommendation Exploiting Community-level Social Influence. Pacific-Asia Conference on Information Systems (PACIS). 2016.
2019， 上海市“浦江人才”称号
2019-2021，上海财经大学优秀本科生毕业论文指导老师
2019，管理科学与工程学会优秀博士论文
2018，清华大学优秀博士论文
2013，北京市优秀毕业生